Intelligent Classification Of Stingless Bee Honey Using Enose
نویسندگان
چکیده
Honey is an essential product produced by both honey bees and stingless bees. It one of the most powerful natural products used for wound healing also known as sweetener that widely available across entire world. One problems required to sustain bee measuring quantifying quality. methods detect via odor signature. However, difficulties in identifying odour profile feature are common using human or animal nose. The second challenge find efficient accurate artificial intelligence identify odours. objective this research (SBH) odour-profile feature. SBH a species, yet different size, it produces clearer colour compared bee. study on grade not extensively explored. Other than that, done measure E-nose which comprises sensor array has been samples dataset from few types SBH. Hence, aim classify based smell pattern recognition. final step measured data were normalised analysed case-based reasoning (CBR) method. Interestingly, CBR classification had shown significant findings whereby could achieved 100% rate accuracy, specificity sensitivity. In conclusion, odor-profile feasible.
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ژورنال
عنوان ژورنال: Mekatronika
سال: 2022
ISSN: ['2637-0883']
DOI: https://doi.org/10.15282/mekatronika.v4i2.8946